Stock market returns and the content of annual report narratives.
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Predicting Stock Market Returns Based on the Content of Annual Report Narrative: A New AnomalyAbstract
This paper uses the tools of computational linguistics to analyze the qualitative part of the annual reports of UK listed companies. More specifically, the frequency of words associated with different language indicators is measured and used to forecast future stock returns. We find that two of these indicators, capturing ‘activity’ and ‘realism’, predict subsequent price increases, even after controlling for a wide range of factors. Elevated values of these two linguistic variables, however, are not symptomatic of exacerbated risk. Consequently, investors are advised to peruse the annual report narratives, as they contains valuable information that may still not have been discounted in the prices.Citation
Wisniewski, T.P., and Yekini, L.S. (2015) 'Stock market returns and the content of annual report narratives', Accounting Forum, 39(4), pp. 281-294. doi: 10.1016/j.accfor.2015.09.001.Publisher
Taylor & FrancisJournal
Accounting ForumDOI
10.1016/j.accfor.2015.09.001Additional Links
https://doi.org/10.1016/j.accfor.2015.09.001https://pureportal.coventry.ac.uk/en/publications/stock-market-returns-and-the-content-of-annual-report-narratives-2
Type
ArticleLanguage
enISSN
0155-9982EISSN
1467-6303ae974a485f413a2113503eed53cd6c53
10.1016/j.accfor.2015.09.001